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[–] 139 points 4 months ago (12 children)

Lol. Lmao even. Rofl perhaps.

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  • [–] 26 points 4 months ago (5 children)

    But it stops clearly short of roflmao, I infer?

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  • [–] 19 points 4 months ago (4 children)
  • [–] 24 points 4 months ago (3 children)

    The roflcopter has left the pad. No sleep til LOLWTFBBQ

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  • [–] 13 points 4 months ago (2 children)
  • [–] 80 points 4 months ago (10 children)

    Something I’ve been noticing recently is that while the cost per token on specific models hasn’t gone up, the provided interfaces for using those models are starting to chew up significantly larger numbers of tokens for the same tasks that used fewer tokens with older versions of the interface software just a few months ago. Likely the interfaces are applying more expensive guardrail prompts and charging the end user for those tokens — but the end result is that it costs 4x as much to get the same work done.

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  • [–] 9 points 4 months ago (7 children)

    My CLAUDE.md file bloated significantly. It tried to load unnecessary skills and would retain throughout the whole session. Fixing that, maintaining good wikis and using clear often really helped fixed my personal token burn.

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  • [–] 6 points 4 months ago (6 children)

    What do you use that file for? I see Claude.md thrown around and I'm a bit curious.

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  • [–] 5 points 4 months ago

    When you use the /init command in claude code, it'll scan your whole project and write a CLAUDE.md, which is basically an overview of the project contents and architecture that it uses as context when responding to queries.

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  • [–] 1 point 4 months ago

    LLMs generally work in one way. They get the prompt and give an answer. CLAUDE.md, system promp, rules, memory, tool defintions, mcps are different ways to prefix your prompt with extra information or context.

    Skills, or plugins, are a way to inject less information until is needed (you can think about them as prefixing your prompt with "if you are asked about pizzas, add to context separate file pizza.md").

    What you could add to CLAUDE.md depends on what you're doing. Generally it should be context LLM cannot infer relevant to all/most task performed in given project.

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  • [–] 1 point 4 months ago

    Consider each session with Claude a new employee. Your Claude.md file is what it knows and how it acts out the gate. You can save memory to it or save directory links so it knows where or how to look for something.

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  • [–] 1 point 4 months ago (2 children)

    It's added in every chat you start with Claude for that project. It's useful for including context specific to your project that it couldn't otherwise know. High level stuff like what it's for, but also details about how the folders are organized. This saves time and tokens from rescanning the whole thing every time.

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  • [–] 2 points 4 months ago (1 child)

    Oh, thanks! That's kind of neat, like not having to type "I'm on godot 4, c#" every time you ask about some quirk.

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  • [–] 2 points 4 months ago

    That's exactly what it's perfect for. If you go further and detail the intent of the project and give a high level overview of the architecture, it's even better at inferring what needs to be done without a bunch of expensive file reads and asking you repetitive questions

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    [–] 33 points 4 months ago (5 children)

    That's funny now that whole workflows are automated with it. Oops hit the quota, I'm off

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  • [–] 23 points 4 months ago (2 children)

    You mean those workflows that could've been traditional scripting and CI/CD, if not for management forcing AI into them? Those workflows?

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  • [–] 29 points 4 months ago (7 children)

    I’m confused. I thought employers loved AI and it was the future.

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  • [–] 8 points 4 months ago

    They love money. AI was good money for a while. Or at least it looked like good money until you looked at it for longer than 3 seconds, which greatly surpasses the average attention span of an executive. And also the average executive's iq.

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  • [–] 10 points 4 months ago* (3 children)

    They loved it too much and now it costs more than paying a living wage to a human being. The end goal of AI was always to cut cost and layoff people. The best sabotage right now is to setup a script that constantly prompts an LLM for something useless. I would recommend it if it didn't waste so much energy and clean water. But it would send a message. AI is not cheaper, it never was. Even with today's outrageous token prices, LLM companies are still bleeding money per user. It will only get more expensive as data center contracts fall through and the investment craze fizzles out.

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  • [–] 1 point 4 months ago (1 child)

    I would recommend it if it didn’t waste so much energy and clean water.

    I wouldn't. It's not possible to do meaningful validation of a process that has AI in the loop because it is not repeatable and there is no reliable explainability. So for anything where money or lives are at stake, it's not worth a shit. Same goes for anything where the company is held liable for false statements.

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  • [–] 4 points 4 months ago

    Mixed bag.

    There are legitimately high value problems that AI works well against. But ungoverned proliferation has a net negative ROI across complex and difficult to measure areas.

    When applied expertly, it works great. When blindly handed to your entire workforce as a panacea, not so much

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  • [–] 56 points 4 months ago (3 children)

    How is it too expensive? Surely it's generating way more profit than it would cost in value. How else could it be propping up the entire economy?

    Itd have to be some kind of bubble and that would mean we were in a lottttt of danger and should reasses our use of it.

    Nah we should just reduce our use because its too expensive and then stop thinking about it beyond that.

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  • [–] 16 points 4 months ago

    Itd have to be some kind of bubble and that would mean we were in a lottttt of danger and should reasses our use of it.

    Well yeah, but if it were the only sector propping up the whole economy and we reassessed it, the economy would be in a loooooot of danger anyway.

    Luckily, that would never happen...

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  • [+] 27 points 4 months ago (1 child)
  • [–] 21 points 4 months ago

    We can only hope this helps kill the fad. I know companies won't be taking any realistic lesson from this, but at least this can force them to abandon a lot of this crap.

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  • [–] 18 points 4 months ago

    All over America, employees are saying "But YOU said..."

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  • [–] 16 points 4 months ago

    Uplifting News

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  • [–] 30 points 4 months ago (1 child)

    This is actually how the bubble begins to pop, we're seeing it happen now.

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  • [–] 12 points 4 months ago (2 children)

    This is why these companies should go bankrupt.

    We had a system that works and they thought if they got rid of the actual workforce with the needed knowledge and replace them with lower paid AI retards it would make them more money, fucking karma.

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  • [–] 4 points 4 months ago

    Hopefully it will reset public consciousness and at least reduce the insane hero worship we give the executive class. These people aren't geniuses, they tend to not even be particularly clever, just well connected. Maybe this will be the abject reminder people need that these idiots are generally still just idiots and are not in fact 10,000% more valuable than the guy who sweeps the floors and keeps the bathrooms clean.

    I know. Wishful thinking. A guy can dream though.

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  • [–] 2 points 4 months ago

    The problem is that, when the bubble pops, they'll just say they are too big to fail. They'll take your tax money to keep them alive and those nice CEO anual bonuses coming. They always win, either way. The game is just rigged.

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  • [–] 9 points 4 months ago

    What’s this echoey sound? As if someone warned us about this exact fucking thing.

    Curious.

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  • [–] 9 points 4 months ago (2 children)

    The first half of the title got me worried...

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  • [–] 17 points 4 months ago (1 child)

    I smell a bubble about to burst...

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  • [–] 7 points 4 months ago

    Maybe they should get AI to do the AI prompts so they can cut down on costs XD

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  • [–] 7 points 4 months ago (1 child)

    My company recently converted our PMs into Vine Engineers right after laying off actual engineers. They don't even know what git is or how to use it. 3 of them alone are using $7k a month in Claude tokens and they have not raised so much as a single PR.

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  • [–] 11 points 4 months ago

    So it has a negative ROI and anyone who brought it into their firm is a clueless twat who uncritically bought a sales pitch.

    If corporate governance were not a joke, C-level heads would roll.

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  • [–] 11 points 4 months ago (22 children)

    I don't really understand how people are using so many tokens. At work I haven't even hit $200 I spend per month. Wtf are people doing with these things that burns so many tokens?

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  • [–] 18 points 4 months ago

    If you run "agentic coding harness" or any kind of goal oriented loop then tokens goe brrrr.

    And LLM sellers are pushing for that (duh), as they managed to convince people to use infinite monkeys typewriting until they make Hamled.

    (Type made on purpose)

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  • [–] 5 points 4 months ago (1 child)

    If you click the most expensive model and then click max/fast mode, the same task can easily cost 10 or 20x of the cheaper models

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  • [–] 2 points 4 months ago

    I watched two colleagues this week and both had Opus 4.8 1M max thinking. No matter which task. It’s also slow as fuck. I work almost all day with GPT-5.4 low thinking and get good results… but faster and cheaper.

    I guess good model selection and promoting will be what sets devs apart in the near future. Once that bubble bursts a bit more and prices increase further that will be an interesting reckoning. Also for companies who basically taunted their employees into tokenmaxxing.

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  • [–] 4 points 4 months ago (4 children)

    I read they were automating everything whether it needed AI or not just to get credit for using AI.

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  • [–] 6 points 4 months ago (3 children)

    I had to push back on that at work. Most of the problems presented were easily solvable via conventional methods. Only one task was a legitimate use of AI. There are some others, but the pressure to consider AI for every task is a little bananas

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  • [–] 2 points 4 months ago* (2 children)

    My boss was talking about using AI agents for CI/CD processes. Like, I get using them to build CI/CD processes, but involving AI agents in the actual build process is ridiculously stupid. A representative from Microsoft specifically said in a training session to not use them that way so it's obviously not only my stupid ass boss.

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  • [–] 4 points 4 months ago

    I am not able to use the tokens provided by a Claude Max account either.
    But if someone tries to be clever and have 10 employees use a single Max account, they probably run into the limits often. And if the response is to let them just buy API-prized tokens instead of getting more accounts, that gets very expensive very fast. The single-user accounts are subsidized. The extra token prices are not.
    Actual business accounts are prohibitively expensive. And at least Anthropic terminates subsidized accounts when they see extensive use.

    Real token prices are insane. Most businesses couldn't afford them. And eventually the VC capital will dry up. The cheap AI bubble will burst. And then the market is in for a real sticker shock.
    Better be prepared to switch to local inference for as many use cases as possible.

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  • [–] 3 points 4 months ago (2 children)

    I've heard "loops" will burn a lot of tokens. Haven't tried it myself. A person could also spool up multiple loops to work on multiple branches at the same time.

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  • [–] 3 points 4 months ago*

    I am not convinced yet of letting agents completely unattended. Watching them work makes review easier for me. If I let the agent just produce some result it needed half an hour (or more) for, it’s very likely so convoluted that I can at best skim over it and then go „yeah yeah ok, it’s probably fine “.

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  • [–] 4 points 4 months ago (2 children)

    I tried Warp terminal because now that's bankrolled by openai's magic infinite money you can use your own openai api keys without a subscription. So I put one from my work account. I do a git commit (manually) and then it comes a prompt under it "push it, open a PR and switch to main?". I click yes, it used one million tokens for that... (And it took about a minute because it did like 20 requests, so there was no time saving at all vs doing it manually)

    I wget something, it comes a prompt under it "now compare the hash?". Boom, another 500k tokens

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  • [–] 4 points 4 months ago (1 child)

    That's completely insane. At best it would be useful for the pr title and message, but the rest of that is waste.

    These are the kinds of things I just ask in chat. "Whata the cli command to compare hashes again?"

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  • [–] 2 points 4 months ago

    Agent loops for SWE burn a LOT of tokens.

    I'm unfortunately temporarily disabled and can't use my hands for another 2 months. So I've leaned heavily into AI based workflows to keep my job in the meantime.

    Aside from the nightmare of keeping quality high, not atrophying skills, and avoiding a lack of domain knowledge. It works reasonably okay.

    Token usage is insane though. A productive day might cost a few hundred dollars in tokens all things considered. Quality is expensive as well, a good 1/4 of that are automated systems that exist to identify defects, quality, coherence....etc issues early.

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  • [–] [S] 2 points 4 months ago (1 child)

    What are you using? Which product? I got 2k last month and was told to use cheaper models indeed

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  • [–] 0 points 4 months ago

    I generally use sonnet 4.6, switching to opus 4.6 for more complex stuff. I try to stick with medium thinking, but will use max for stuff I am not super specific about in my prompt (or obscure errors).

    I use them through a GitHub copilot enterprise license, via the plugin for jetbrains.

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  • [–] 11 points 4 months ago*

    The millionaires following the stupidity of billionaires and wondering why they're not becoming billionaires too.

    Give them 50 years and maybe they'll start to wonder why people doing "how to get rich" seminars aren't retiring... And why podcasters telling everyone how to get women seem like such losers.

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  • [–] 5 points 4 months ago

    Some CEO guy said employees must evolve. Throttle your workloads even more employees. Transcend! Praise be to the AI overlord(s)!

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  • [–] 5 points 4 months ago (3 children)

    A sign of the times? Possible lead in the bubble popping?

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